Enroll Course: https://www.coursera.org/learn/business-analytics-decision-making-ko
In today’s data-driven world, the ability to make sound business decisions is paramount. Coursera’s “Business Analytics for Decision Making” (의사 결정을 위한 비즈니스 분석) course offers a practical and accessible approach to equipping learners with the tools and techniques needed to navigate complex business challenges.
This course demystifies the process of building models for effective decision-making. It kicks off with Cluster Analysis, a powerful data reduction technique invaluable for market segmentation. From there, it smoothly transitions into the fundamentals of Monte Carlo Simulation, a crucial tool for modeling the inherent uncertainty present in many business decisions. A core element of decision-making is identifying the best course of action, and this course expertly guides you through how optimization techniques can help pinpoint the optimal options amidst a sea of alternatives.
What truly sets this course apart is its accessibility. You don’t need a background in computer programming or advanced statistics to grasp these predictive and prescriptive analytical models. A foundational understanding of Excel and the Analytic Solver Platform is all that’s required. For those actively engaging with the course assignments, the Analytic Solver Platform is provided free of charge, removing a significant barrier to entry.
The syllabus is thoughtfully structured, covering key areas:
* **Data Exploration and Reduction – Cluster Analysis:** Learn to group data points effectively for insights.
* **Handling Uncertainty and Risk Analysis:** Understand how to model and mitigate risks.
* **Identifying the Best Options – Optimization:** Develop spreadsheet models for optimization problems, solve them using Excel, and interpret the results with ‘what-if’ analysis.
* **Decision Analysis:** Learn to apply appropriate techniques to identify optimal solutions, formulate and solve business problems with logical constraints, and build models that blend simulation and optimization for informed decision-making.
Upon completion, students will be well-equipped to formulate and solve optimization problems using Excel, interpret results, and confidently apply a blend of simulation and optimization techniques to real-world business scenarios. This course is highly recommended for anyone looking to enhance their analytical skills and make more strategic, data-backed decisions.
Enroll Course: https://www.coursera.org/learn/business-analytics-decision-making-ko